WDARMS Reznov-Jackal™

Abstract

The methods, process, and apparatus of the present invention produces a structurally representative organ model using magnetic resonance imaging scan information of a organ and a patient's medical history and physiology. This is accomplished by mathematically convolving the scan information with a second order ranked tensor matrix encoded with the patient's physiological information as it relates to the scanned organ and their medical profile. The convolved scan information and encoded matrix are computer processed to produce a 3D printer driver file which is used to print a structurally representative organ model conforming to the patient's physiology.

Background of the Invention

(1) The field of the invention is biological organ replication in a non-biological medium, also known as organ model production. Replicating a complex organ while the organ model maintains the properties of the tissue as the tissue characteristics vary in cross section while also maintaining the complex structure of the external and internal features of the original organ is accomplished with the present invention. Producing an organ model with the look and feel of the original organ provides medical professionals with an opportunity to practice surgical skills in an improved training environment. Currently, organ models are created in a manner which does not retain the look and feel of a real organ because they do not reproduce the nuances of tissue variousness throughout an organ nor reproduce complex internal and external features driven by cellular structure. Described is a novel process and a system to produce an organ model providing the nuances of tissue variousness and complex internal and external features present in the original biological organ. The source dataset, which is uniquely processed as described herein, is derived from readily available magnetic resonance imaging techniques. The end device which produces the replicated organ is an additive layer printer driven by software instructions generated by the unique software process of the present invention. The present invention combines software processing, system hardware, and network connectivity to produce an organ model, having the mechanical and the structural features of the originally scanned biological organ, for use as a novel solution to improve surgical and diagnostic training for highly skilled medical professionals and students.